EMI 1D laterally-constrained inversion

Included here are the software used to invert the drone-towed electromagnetic induction data to predict the conductivity of the subsurface.

This is done using a simple 1D medium forward model and a Covariance Matrix Adaptation Evolution Strategy (CMAES) to find a solution that minimises a cost function.

Data for the inversion scheme can be found at: http://doi.org/10.11583/DTU.24941883

The following files are available:

1. Test_of_forward_model.py
2. helper_functions.py
3. thy_data_processing.py
4. Run_processing.sh
5. README.txt

Data file Description:

• [1] [Test_of_forward_model.py]: Python script enabling testing of the forward model. Three 1D subsurface is tested.
• [2] [helper_functions.py]: This Python script contains the forward model function, the objective function, the misfit function, and associated functions.
• [3] [thy_data_processing.py]: This Python script is the main script which takes care of the 1D medium inversion using the CMA.
• [4] [Run_processing.sh]: This bash script exemplifies how "thy_data_processing.py" can be executed.
• [5] [README.txt]:This files